﻿/**************************************************************************************
 *  MySpace’s Mapreduce Framework is a mapreduce framework for distributed computing  *
 *  and developing distributed computing applications on large clusters of servers.   *
 *                                                                                    *
 *  Copyright (C) 2008  MySpace Inc. <http://qizmt.myspace.com/>                      *
 *                                                                                    *
 *  This program is free software: you can redistribute it and/or modify              *
 *  it under the terms of the GNU General Public License as published by              *
 *  the Free Software Foundation, either version 3 of the License, or                 *
 *  (at your option) any later version.                                               *
 *                                                                                    *
 *  This program is distributed in the hope that it will be useful,                   *
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of                    *
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the                     *
 *  GNU General Public License for more details.                                      *
 *                                                                                    *
 *  You should have received a copy of the GNU General Public License                 *
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.             *
***************************************************************************************/
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace MySpace.DataMining.AELight
{
    public partial class Examples
    {

        static void GenerateImageProcessKMeans(List<string> alljobfiles)
        {

            #region ImageProcessKMeans
            alljobfiles.Add(@"Qizmt-ImageProcessKMeans.xml");
            AELight.DfsDelete(alljobfiles[alljobfiles.Count - 1], false);
            AELight.DfsPutJobsFileContent(alljobfiles[alljobfiles.Count - 1],
@"<SourceCode>
  <Jobs>
    <Job>
      <Narrative>
        <Name>Qizmt-ImageKMeans_Preprocessing</Name>
        <Custodian></Custodian>
        <email></email>
      </Narrative>
      <IOSettings>
        <JobType>local</JobType>
      </IOSettings>
      <Local>
        <![CDATA[
        public virtual void Local()
        {
            Shell(@`Qizmt del ImageKMeans_*`, true);
            
            //Load image.            
            string picString = 

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            byte[] buf = Convert.FromBase64String(picString);
            System.IO.MemoryStream ms = new System.IO.MemoryStream(buf);
            System.Drawing.Bitmap flag = new System.Drawing.Bitmap(ms);
            ms.Close();                        
           
            int width = 240;
            int height = width;
           
            string dir = IOUtils.GetTempDirectory() + @`\ImageProcessKMeans`;
                        
            int sampleSize = 200;
            //Number of centroids.
            int k = 50;
            Random rnd = new Random();

            //Random data.
            for (int i = 0; i < sampleSize; i++)
            {
                flag.SetPixel(rnd.Next(width), rnd.Next(width), System.Drawing.Color.Black);                
            }

            //Initial centroids.
            for (int i = 0; i < k; i++)
            {
                flag.SetPixel(rnd.Next(width), rnd.Next(width), System.Drawing.Color.Red);
            }            
           
             //Create clustered data.
            {               
                //Number of clusters to create.
                int clusterCount = 50;
                double xCenter = 0;
                double yCenter = 0;
                double radius = 10;
                int density = 100;
                //# of points in a cluster
                int clusterSize = 30;   
                double x = 0;
                double y = 0;

                for (int i = 0; i < clusterCount; i++)
                {
                    //Cluster center point.
                    xCenter = rnd.Next(width);
                    yCenter = rnd.Next(width);

                    for (int j = 0; j < clusterSize; j++)
                    {
                        x= xCenter + rnd.Next((int)radius);
                        y= yCenter + rnd.Next((int)radius);
                        x = Math.Round(x);
                        y = Math.Round(y);

                        if (x >= 0 && x <= width && y >= 0 && y <= width)
                        {
                            flag.SetPixel((int)x, (int)y, System.Drawing.Color.Black);
                        }                            
                    }
                }
            }
                        
            if(System.IO.Directory.Exists(dir))
            {
                System.IO.Directory.Delete(dir, true);
            }
            
            System.IO.Directory.CreateDirectory(dir);
            
            DivideBitmap(flag, 5, dir);
            
            //Put divided images into DFS
            Shell(`Qizmt putbinary \`` + dir + `\\img*.bmp\` ImageKMeans_Input.blob`);            
        }
        
        private void DivideBitmap(System.Drawing.Bitmap bmp, int gridCount, string dir)
        {            
            if(!System.IO.Directory.Exists(dir))
            {
                System.IO.Directory.CreateDirectory(dir);
            }
            
            int size = bmp.Width / gridCount;

            for (int i = 0; i < gridCount; i++)
            {
                int x = i * size;

                for (int j = 0; j < gridCount; j++)
                {
                    int y = j * size;
                    
                    string fname = dir + @`\img-` + x.ToString() + `-` + y.ToString() + `.bmp`;
                    
                    System.Drawing.Rectangle cloneRect = new System.Drawing.Rectangle(x, y, size, size);
                    System.Drawing.Imaging.PixelFormat format = bmp.PixelFormat;
                    System.Drawing.Bitmap cutBmp = bmp.Clone(cloneRect, format);
                    
                    cutBmp.Save(fname, System.Drawing.Imaging.ImageFormat.Bmp);
                }
            }
        }
        ]]>
      </Local>
    </Job>
    <Job>
      <Narrative>
        <Name>Qizmt-ImageKMeans</Name>
        <Custodian></Custodian>
        <email></email>
      </Narrative>
      <IOSettings>
        <JobType>mapreduce</JobType>
        <KeyLength>260</KeyLength>
        <DFSInput>dfs://ImageKMeans_Input.blob</DFSInput>
        <DFSOutput>dfs://ImageKMeans_Output.blob</DFSOutput>
      </IOSettings>
      <MapReduce>
        <Map>
          <![CDATA[
          public virtual void Map(ByteSlice line, MapOutput output)
          {
              Blob b = line.ReadBinary();
              string name = b.name;
              byte[] data = b.data;
                                          
              mstring key = mstring.Prepare(name);
              recordset value = recordset.Prepare();
              value.PutBytes(data, 0, data.Length);
              
              output.Add(key, value);              
          }
        ]]>
        </Map>
        <ReduceInitialize>
          <![CDATA[
          public void ReduceInitialize() { }
        ]]>
        </ReduceInitialize>
        <Reduce>
          <![CDATA[
          public override void Reduce(ByteSlice key, ByteSliceList values, ReduceOutput output)
          {
              string imgName = mstring.Prepare(UnpadKey(key)).ToString();
              byte[] imgData = values.Items[0].ToBytes();
              
              System.IO.MemoryStream ms = new System.IO.MemoryStream(imgData);
              System.Drawing.Bitmap bm = new System.Drawing.Bitmap(ms);
              ms.Close();
              
              List<Point> centroids = new List<Point>();
              List<Point> data = new List<Point>();
              
              //Extract data and centroids from this image.
              Extract(bm, centroids, data);                
              
              Blob b;
              
              if(centroids.Count > 0 && data.Count > 0)
              {
                  Point[] newCentroids = new Point[centroids.Count];
                  CalculateKMeans(newCentroids, data.ToArray());
                  
                  ReGraph(bm, newCentroids, centroids.ToArray(), false);
                  
                  //Get this new bitmap to byte[]
                  System.IO.MemoryStream nms = new System.IO.MemoryStream();
                  bm.Save(nms, System.Drawing.Imaging.ImageFormat.Bmp);
                  byte[] buf = nms.ToArray();
                  
                  b = Blob.Prepare(imgName, buf);
              }
              else
              {
                  //No change in this image.
                  b = Blob.Prepare(imgName, imgData);
              }
                            
              output.AddBinary(b);
            }
                        
            private void ReGraph(System.Drawing.Bitmap bmp, Point[] newCentroids, Point[] oldCentroids, bool showOldCentroids)
            {
                int width = bmp.Width;
                int height = bmp.Height;
                int centroidColor = System.Drawing.Color.Red.ToArgb();
                
                if(!showOldCentroids)
                {
                    for(int x = 0; x < width; x++)
                    {
                        for(int y = 0; y < height; y++)
                        {
                            System.Drawing.Color color = bmp.GetPixel(x, y);
                            int icolor = color.ToArgb();
                            if (icolor == centroidColor)
                            {
                                bmp.SetPixel(x, y, System.Drawing.Color.White);
                            }
                        }
                    }
                }
                
                System.Drawing.Graphics g = System.Drawing.Graphics.FromImage(bmp);
                
                foreach(Point p in newCentroids)
                {                                       
                    g.DrawRectangle(new System.Drawing.Pen(System.Drawing.Color.Red, 1), p.X, p.Y, 2, 2);
                }      
                
                for(int i=0; i < oldCentroids.Length; i++)
                {
                    Point old = oldCentroids[i];
                    Point newc = newCentroids[i];
                    
                    Point rPoint;
                    Point lPoint;
                    
                    if(old.X < newc.X)
                    {
                        lPoint = old;
                        rPoint = newc;
                    }
                    else
                    {
                        lPoint = newc;
                        rPoint = old;
                    }
                    
                    g.DrawLine(new System.Drawing.Pen(System.Drawing.Color.Green, 1), lPoint.X - 1, lPoint.Y, rPoint.X - 1, 

rPoint.Y);                    
                }                
            }
          
            private void Extract(System.Drawing.Bitmap bmp, List<Point> centroids, List<Point> data)
            {
                int width = bmp.Width;
                int height = bmp.Height;

                int centroidColor = System.Drawing.Color.Red.ToArgb();
                int dataColor = System.Drawing.Color.Black.ToArgb();

                for (int x = 0; x < width; x++)
                {
                    for (int y = 0; y < height; y++)
                    {
                        System.Drawing.Color color = bmp.GetPixel(x, y);
                        int icolor = color.ToArgb();

                        if (icolor == centroidColor)
                        {
                            centroids.Add(Point.Create(x, y));  
                        }
                        else if (icolor == dataColor)
                        {
                            data.Add(Point.Create(x, y));
                        }                    
                    }
                }
            }

            public void CalculateKMeans(Point[] centroids, Point[] data)
            {
                int k = centroids.Length;
                bool running = true;

                while (running)
                {
                    int[] sumX = new int[k];
                    int[] sumY = new int[k];
                    int[] count = new int[k];

                    foreach (Point d in data)
                    {
                        double min = 0;
                        int cID = 0;

                        //Find the centroid nearest to the data.
                        for (int i = 0; i < k; i++)
                        {
                            Point c = centroids[i];
                            double e = Point.GetDistance(d, c);

                            if (i == 0)
                            {
                                min = e;
                            }
                            else if (e < min)
                            {
                                min = e;
                                cID = i;
                            }
                        }

                        sumX[cID] += d.X;
                        sumY[cID] += d.Y;
                        count[cID]++;
                    }

                    running = false;
                    Point newCentroid;

                    for (int i = 0; i < k; i++)
                    {
                        if (count[i] > 0)
                        {
                            //re-calculate centroids.
                            newCentroid = Point.Create(sumX[i] / count[i], sumY[i] / count[i]);

                            //If centroid has moved, keep running.
                            if (newCentroid.X != centroids[i].X || newCentroid.Y != centroids[i].Y)
                            {
                                centroids[i] = newCentroid;
                                running = true;
                            }
                        }
                    }
                }
            }          

        public struct Point
        {
            public int X;
            public int Y;

            public static Point Create(int x, int y)
            {
                Point p;
                p.X = x;
                p.Y = y;
                return p;
            }

            public static Point Create(string s)
            {
                string[] coords = s.Split(new Char[] { ',' });
                Point p;
                p.X = Int32.Parse(coords[0]);
                p.Y = Int32.Parse(coords[1]);
                return p;
            }

            public static double GetDistance(Point p1, Point p2)
            {
                return Math.Sqrt(Math.Pow((p1.X - p2.X), 2) + Math.Pow((p1.Y - p2.Y), 2));
            }
        }
        ]]>
        </Reduce>
        <ReduceFinalize>
          <![CDATA[
          public void ReduceFinalize() { }
        ]]>
        </ReduceFinalize>
      </MapReduce>
    </Job>
    <Job>
      <Narrative>
        <Name>Qizmt-ImageKMeans_Preprocessing</Name>
        <Custodian></Custodian>
        <email></email>
      </Narrative>
      <IOSettings>
        <JobType>local</JobType>
      </IOSettings>
      <Local>
        <![CDATA[
        public virtual void Local()
        {
            string dir = IOUtils.GetTempDirectory() + @`\ImageProcessKMeansFinished`;
  
            if(System.IO.Directory.Exists(dir))
            {
                System.IO.Directory.Delete(dir, true);
            }
            
            System.IO.Directory.CreateDirectory(dir);   
            
            Shell(`Qizmt getbinary ImageKMeans_Output.blob \`` + dir + `\``);
            
            StitchBitmaps(dir, 240, 10, `after.bmp`);            
            
            dir = IOUtils.GetTempDirectory() + @`\ImageProcessKMeans`;
            StitchBitmaps(dir, 240, 10, `before.bmp`);            
        }
        
        private void StitchBitmaps(string dir, int finalBitmapSize, int gridCount, string filename)
        {
            System.Drawing.Bitmap finalBm = new System.Drawing.Bitmap(finalBitmapSize, finalBitmapSize);

            System.Drawing.Graphics g = System.Drawing.Graphics.FromImage(finalBm);

            if (System.IO.Directory.Exists(dir))
            {
                System.IO.FileInfo[] files = (new System.IO.DirectoryInfo(dir)).GetFiles(`img*.bmp`);

                foreach (System.IO.FileInfo file in files)
                {
                    System.Drawing.Bitmap bm = new System.Drawing.Bitmap(file.FullName);
                    string[] parts = file.Name.Split(new char[]{'-','.'});
                    int x = Int32.Parse(parts[1]);
                    int y = Int32.Parse(parts[2]);

                    g.DrawImage(bm, x, y);
                }
               
                finalBm.Save(dir + @`\` + filename, System.Drawing.Imaging.ImageFormat.Bmp);
            }
        }
        ]]>
      </Local>
    </Job>
  </Jobs>
</SourceCode>
".Replace('`', '"'));
            Console.WriteLine("    Qizmt exec {0}", alljobfiles[alljobfiles.Count - 1]);
            #endregion

        }

    }
}
